IMPORTANT DATES
January 15, 2018: Proposal Submission Deadline
January 25, 2018: Notification of Acceptance
May 15, 2018: Full Chapter Submission
July 15, 2018: Review Results Returned
September 15, 2018: Final Chapter Submission
Editors
Albert Gyamfi (Ph.D)
Aalborg University Copenhagen,
Idongesit Williams (Ph.D)
Aalborg University Copenhagen,
Call for Chapters
Proposals Submission Deadline: January 15, 2018
Full Chapters Due: May 15, 2018
Submission Date: September 15, 2018
Introduction
This book will focus on the influence of big data analytics, artificial intelligence, as well as, tools, methods, and techniques for knowledge sharing processes in virtual organizations. Knowledge management encompasses various research disciplines ranging from economics, management science, organizational theory, strategic management, human-resources management, information science, knowledge engineering, artificial intelligence, to cognitive science. Knowledge in its pure state is tacit in nature-difficult to formalize and communicate-but can be converted into codified form and shared through both social interactions and the use of IT-based applications and systems. However, Information Technology has proven to be effective tool for supporting the knowledge management life cycle such as capturing, storage, sharing, transferring and even application of knowledge. With the use of IT, knowledge can be converted into data for informed and better decision making by management. However, even though there seems to be considerable synergies between the resulting huge data and the convertible knowledge, there is still a debate on how the increasing amount of data captured by corporations could improve decision-making and foster innovation through effective knowledge sharing practices. Organizations are therefore exploring new knowledge sharing tools, methods, and processes within the broader field of analytics for ensuring continuous development and organizational performance. Meanwhile, organizations, including governments, industries, and academia are becoming more global and losing boundaries, and therefore they can no longer be defined by the traditional horizontal-vertical or external hierarchical predefined structure. Consequently, new organizational forms emerge which relies largely on networking and collaborations through the use of Internet technologies for knowledge flow. Hence a book, which analyzes this trend is timely and would help organizations to strategize themselves on how to use these technologies to effectively manage their intellectual capabilities.
Objective
This comprehensive and timely publication aims to be an essential reference source, building on the available literature in the field of knowledge management while providing for further research opportunities in this dynamic field. It is hoped that this text will provide the resources necessary for policymakers, academics, researchers, International Governmental organizations, etc, identify current challenges and solutions towards social inclusion with respect to gender.
Target Audience
Policy makers, academicians, researchers, advanced-level students, technology developers, and government officials will find this text useful in furthering their research exposure to current gender-related issues hampering social inclusion enabled by ICTs.
Recommended Topics:
Contributors are welcome to submit chapters on any of the following topics. Related topics but not listed here will be considered.
• Knowledge sharing and business analytics
• Sharing knowledge generated through Big data in virtual organizations
• Media, tools, and techniques for Knowledge sharing in virtual organizations
• Design of knowledge sharing processes through digitalization
• Design of knowledge sharing processes, analytics and decision science
• Artificial Intelligence, machine learning and organizational knowledge sharing
• Media tools, techniques, and method in organizational learning perspective
• Effect of Cloud computing and big data on learning in virtual organizations
• Semantic web ontologies and linked data
• Social Media applications and knowledge sharing
• Challenges and issues related to organizational learning using mobile data
• Current research trends the use of mobile platform for knowledge management
• Influence of mobile platforms in organizational learning
• Influence of cross-culture on collaborative learning using mobile platforms
• Knowledge engineering and decision science
Submission Procedure:
Researchers and practitioners are invited to submit on or before January 15, 2018, a 2-3 page chapter proposal clearly explaining the mission and concerns of his or her proposed chapter. Authors of accepted proposals will be notified by January 25, 2018 about the status of their proposals and sent chapter guidelines. Full chapters are expected to be submitted by September 15, 2018. All submitted chapters will be reviewed on a double-blind review basis. Contributors may also be requested to serve as reviewers for this project.
Publisher:
This book is scheduled to be published by IGI Global (formerly Idea Group Inc.), publisher of the “Information Science Reference” (formerly Idea Group Reference), “Medical Information Science Reference,” “Business Science Reference,” and “Engineering Science Reference” imprints. For additional information regarding the publisher, please visitwww.igi-global.com. This publication is anticipated to be released in 2018.
Inquiries:
Albert Gyamfi (Ph.D)
email: alberto@es.aau.dk
Idongesit Williams (Ph. D)
email: idong@es.aau.dk